code: def test_error_message(self):
      model = AutoModel.from_pretrained("openai/whisper-tiny")
  
      with self.assertRaises(ValueError) as cm:
          model = BetterTransformer.transform(model)
  
      self.assertTrue(
          "Transformers now supports natively BetterTransformer optimizations"
          in str(cm.exception)
      )
  
imports: import unittest
  import numpy
  import pytest
  import torch
  from parameterized import parameterized
  from testing_utils import MODELS_DICT, BetterTransformersTestMixin
  from transformers import AutoModel, AutoProcessor, set_seed
  from optimum.bettertransformer import BetterTransformer
  from optimum.utils.testing_utils import grid_parameters, require_torch_gpu
label_desc: Use image node_id 1 for calling the TestsWhisper obj's underlying member method code with example usage: obj.test_error_message() without return types